Primary record

Software Engineer, Robotics

Scale AI Indexed employerArgentina; Uruguay · Buenos Aires, Buenos Aires, Argentina
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Workplace

On-site

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

Software Engineer

Argentina; Uruguay

Software Engineer - Robotics & Autonomous Systems

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

You Will:

• Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets

• Build ML training and fine-tuning pipelines using Scale's robotics data

• Work across backend (Python, Node.js , C++), and frontend (React, TypeScript) stacks to build end-to-end solutions

• Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation

• Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development

• Design comprehensive monitoring and evaluation frameworks for robotics models and data quality

• Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors

• Collaborate with ML engineers and researchers to bring robotics research into production

• Deliver features at high velocity while maintaining system reliability and performance

Ideally, You Have:

• At least 6 years of high-proficiency software engineering experience, with a strong bac

Requirements

Department: Physical AI Engineering